基于光学卫星遥感的云分类研究进展  

Research progress of cloud classification based on optical satellite remote sensing

作　　者：付雅帅 张文豪 金永涛[1,2,3] 刘其悦 张丽丽 邴芳飞 马宇 FU Yashuai;ZHANG Wenhao;JIN Yongtao;LIU Qiyue;ZHANG Lili;BING Fangfei;MA Yu(School of Remote Sensing and Information Engineering,North China Institute of Aerospace Engineering,Langfang 065000,China;Institute of Remote Sensing Applications,North China Institute of Aerospace Engineering,Langfang 065000,China;Heibei Spacer Remote Sensing Information Processing and Application of Collaborative Innovation Center,Langfang 065000,China;National Engineering Laboratory for Satellite Remote Sensing Applications,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Zhongke Langfang Institute of Spatial Information Applications,Langfang 065001,China)

机构地区：[1]北华航天工业学院遥感信息工程学院,河北廊坊065000 [2]北华航天工业学院遥感应用研究所,河北廊坊065000 [3]河北省航天遥感信息处理与应用协同创新中心,河北廊坊065000 [4]中国科学院空天信息创新研究院遥感卫星应用国家工程实验室,北京100094 [5]中科空间信息(廊坊)研究院,河北廊坊065001

出　　处：《大气与环境光学学报》2025年第1期1-17,共17页Journal of Atmospheric and Environmental Optics

基　　金：河北省自然科学基金(D2020409003);河北省高等学校科学技术研究项目(ZD2021303,D2022103002);北华航天工业学院博士科研启动基金(BKY-2021-31);国防基础科研项目(JCKY2020908B001);高分辨率对地观测系统国家科技重大专项(67-Y50G04-9001-22/23);北华航天工业学院硕士研究生创新资助项目(YKY-2022-58)。

摘　　要：云类型产品在气象预报、气候变化、灾害监测与预警等众多领域都具有非常重要的应用。近年来随着卫星技术的发展,光学卫星遥感因其空间覆盖范围广、观测频率高和空间分辨率高等优势,成为云分类研究的重要数据源,基于光学卫星遥感的云分类也取得了一系列研究成果。本文首先简要介绍用于云分类的光学遥感卫星及其传感器。随后,系统阐述了近20年国内外基于光学卫星遥感的云分类研究进展,根据分类方法的原理和复杂度,主要分为基于简单线性关系、数理统计和机器学习算法的三种云分类方法。最后,分析了基于光学卫星遥感云分类研究存在的问题并展望了未来研究方向,期望为国产卫星云分类研究与应用提供参考。Cloud-type products have very important applications in many fields such as weather forecasting,climate change,disaster monitoring and early warning.In recent years,with the development of satellite technology,optical satellite remote sensing has become an important data source for cloud classification research due to its advantages of wide spatial coverage,high observation frequency and high spatial resolution.At the same time,cloud classification based on optical satellite remote sensing has also achieved a series of research results.In this paper,optical remote sensing satellites and their sensors for cloud classification are briefly introduced firstly.Then,the research progress of cloud classification based on optical satellite remote sensing in China and abroad in the past 20 years is systematically expounded.According to the principle and complexity of methods,cloud classification methods are mainly divided into three types based on simple linear relationship,mathematical statistics and machine learning,respectively.Finally,the problems existing in the research of cloud classification based on optical satellite remote sensing are analyzed and the future research direction is prospected,which is expected to provide reference for the research and application of domestic satellite cloud classification.

关 键 词：光学遥感卫星 云分类 数理统计 机器学习 

分 类 号：P407[天文地球—大气科学及气象学]